About vim-1.

Description of dataset vim-1 (visual imaging 1).

Summary of the data

This data set contains BOLD fMRI responses in human subjects viewing natural images. Analysis of this data showed that it was possible to determine which of many images a human subject was looking at from the observed fMRI responses. These results received wide-spread media coverage because they demonstrated a kind of "mind reading". The data was originally published in these two papers:

Format of the data

There were two subjects. For each subject, seven experimental runs were done on each of five separate days, making a total of 70 runs (35 for each subject). Data from these experiments is provided in two formats: a minimally processed format in which data for each run is stored in a separate gzipped NIFTI file (.nii.gz) file. Data in this format is in 70 files, about 10GB total space. Data is also provided in a more processed format that has the estimated BOLD responses for all the images stored in a single file (file EstimatedResponses.mat). This file is about about 670MB and can be loaded into both MatLab and Python. Details of the data formats are given in crcns-vim-1-readme.pdf.

Legality of the data

The sharing of this data on CRCNS.org has been approved by the UC Berkeley Office for Protection of Human Subjects (cphs.berkeley.edu).

Conditions for usage of this data in publications

If you publish any work using the data, please cite the two articles listed above and the data set (see below). Additionally, please notify Kendrick Kay (kendrick@post.harvard.edu).

Conditions for usage of images

The images in this data set that are from the Berkeley Segmentation Data Set are copyright-free. Permission has been given by Kendrick Kay to re-use the images he took that are in this data set in any scientific publication.

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set. The DOI was created using DataCite (www.datacite.org) and the California Digital Library, "EZID" system (n2t.net/ezid/).